Great Learning

The MIT xPRO No-Code AI & Machine Learning program has been an outstanding experience from start to finish. What impressed me most was the balance of academic rigor and practical application. The Business Interpretation track is especially well designed — ideal for professionals who want to understand AI and ML deeply without needing to code.


Throughout the program, I was juggling major life changes, including a move to Japan and daily family responsibilities. Despite this, the pacing, structure, and accessibility of the material helped me stay consistently engaged and on track. The Great Learning team checked in often, offered encouragement, and made it clear they cared about each learner’s success.


This program has expanded my professional toolkit and given me the confidence to move into roles that require a strong understanding of AI-driven decision-making. I’m genuinely looking forward to applying these skills in my next chapter.


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I recently completed the MIT Great Learning NCAIML program, which I began in mid-August 2025. Over the past three months, I found the course to be both rigorous and rewarding. The curriculum is comprehensive, covering a wide range of AI and ML concepts through video lectures delivered directly by MIT professors with deep expertise in the field.The program requires a significant time commitment — in my experience, at least 1–2 hours daily and 4 hours on weekends, with additional effort needed for projects. While the aggressive timeline can be challenging, it ensures that students stay consistently engaged. At times, I had to revisit lectures multiple times to fully grasp complex concepts, but the mentor sessions at the end of each week provided valuable guidance and clarification.The inclusion of case studies and optional hands-on sessions with AI tools further enriched the learning experience, allowing practical application of theoretical knowledge. The learning portal is well-structured, and the quality of content is excellent.Overall, the program delivers exceptional value through world-class instruction and a packed curriculum. The only drawback is the fast-paced schedule, which may feel demanding for working professionals. Nevertheless, the effort required is matched by the depth of knowledge gained, making it a worthwhile investment for anyone serious about advancing in AI and ML. Read less

I recently completed the Data Science and Machine Learning: Making Data-Driven Decisions program offered by MIT IDSS through Great Learning, and I found it to be a genuinely enriching and well-supported learning experience. The course is rigorous and demands more than the suggested 8 hours per week if you want to fully absorb the material, but that’s part of what makes it so rewarding.



The teaching model is one of the program’s strongest points: short videos followed by immediate questions, then a set of practical exercises. This format really helps solidify concepts and makes the learning journey engaging and effective. It’s a key differentiator that sets this course apart from many others.



In terms of support, the Great Learning team is exceptional. They are always attentive, quick to help, and flexible whenever you need extra time or assistance. This level of personalized attention makes a big difference and justifies the premium pricing, creating a warm and supportive learning environment.



As an honest piece of feedback, there are a couple of areas that could be refined. For instance, while most modules use the short-video format effectively, some modules still have longer videos that could be broken down further to maintain the same dynamic flow. Shorter segments with quick questions in between are incredibly effective, and applying this approach more consistently would make the experience even better.



In addition, while I personally found the hands-on projects to be the highlight of the course—allowing me to explore data and build models in a deeply satisfying way—I did notice that some projects had more rigid guidelines that limited a bit of creative freedom. It might be nice to balance structure with a bit more flexibility in those assignments.



Overall, I highly recommend the program. It’s a top-notch experience with a strong support system and a teaching approach that truly helps students learn. With a few minor tweaks, it could be even better, but it’s already an excellent choice for anyone serious about data science and machine learning. Read less

I have taken the No Code AI and Machine Learning: Building Data Science Solutions from MIT and Great Learning. It has been a great experience since I got the chance to  improve my analytical skills, while learning more about AI. I feel that this knowledge will definitely differentiate myself as a professional. Read less

Course lead Nandini is very helpful and professional. I was able to get value from the course due to her help. Thank you so much!
Course lead Nandini is very helpful and professional. I was able to get value from the course due to her help. Thank you so much!!!!!




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Amazing experience trough the No Code AI and Machine Learnig course. Platform and instructor are excellent. The content is very helpfull to understan and apply concepts of AI and Machine Learning in a modern way. For sure I'm improving my professional skills with all above the course. Read less

Before I enrolled in the Post-Graduate Program in Artificial Intelligence and Machine Learning from the University of Texas at Austin, I had zero experience in Artificial Intelligence.  After completing the 7-month program, I now have a solid foundation of knowledge in various AI fields, including Machine Learning, Neural Networks, Natural Language Processing, and Computer Vision.  The program has opened a broad range of career opportunities that I can pursue.  The program is fast-paced, very comprehensive, and worth every penny!  In addition to the breadth of knowledge, learners who complete the program receive a certificate from the University of Texas at Austin. Many thanks to the Great Learning program managers, mentors, and the entire Great Learning team who have helped every step of the way!  I am glad I enrolled, and I am looking forward to an exciting new career in AI. Read less

I took this course to gain some insights into AI without much coding. I had no previous exposure to Machine Learning. This course went beyond my expectations. It exposed me to the different concepts in AI and ML. The accompanying math lectures by MIT faculty provided just the right dose of math to understand the concepts. The mentored learning sessions (MLS) were very informative and the mentor (Denver Dias)  experience in data science enhanced the sessions as he could provide some things on how things work in the industry. I enjoyed the hands on projects as it gave me good exposure on building models to handle real world scenarios.  I highly recommend this course for anyone starting out in AI and ML. Read less

I recently completed the No Code AI & Machine Learning program, and it exceeded my expectations. The pace of the program is rigorous, and the topics can be challenging, but the faculty guidance along with the mentorship sessions were instrumental in navigating the more difficult material. By the end, I had built a portfolio of three industry-relevant projects that demonstrate practical AI capabilities. If you're serious about learning AI, this program delivers real, applicable skills. Highly recommended! Read less

I recently completed the Postgraduate Program in Data Science and Business Analytics, as well as Generative AI for Business Applications, at Great Learning, and it was an exceptional educational experience. The curriculum is precisely constructed, comprehensive, and highly relevant, comprising fundamental subjects such as Python, machine learning, data visualization, statistical modeling, and practical applications of Generative AI. I particularly valued the focus on hands-on experiences, where assignments and capstone projects offered opportunities to directly apply concepts to real-world business challenges.

 I would also like to extend my sincere appreciation to my Program Manager, Mr. Yugeesh, for his unwavering support and prompt guidance throughout the duration of the program. His professionalism and promptness fostered a seamless and motivating learning environment.

 Overall, I strongly recommend Great Learning for individuals seeking to develop robust data and AI competencies. The program imparts both expertise and assurance necessary to succeed in today’s data-driven world. Read less

The Post Graduate Program in Data Science and Business Analytics is a comprehensive and industry-oriented course designed to bridge the gap between data, technology, and business decision-making. It offers a well-balanced curriculum covering essential concepts such as statistics, machine learning, data visualization, predictive modeling, and business strategy. One of the key strengths of the program lies in its practical approach, with hands-on projects, case studies, and real-world business applications. Overall, this program offers an excellent foundation for anyone aspiring to build or advance a career in data science, analytics, or business intelligence, providing both the technical expertise and strategic mindset needed in today’s data-driven world. Read less

It’s been a challenging yet truly exciting experience completing my Postgraduate Program in Data Science and Business Analytics. Coming from an engineering background, this was my first deep dive into the world of Data Science and Computer Science - and it’s been nothing short of transformative.The quality of the course materials, the well-structured learning process, and the support from the faculty were all at a great level. I’m grateful for the knowledge, skills, and inspiration this program has given me, and I’m excited to apply everything I’ve learned to real-world problems ahead! Read less

I have a master's in accountancy and have been working as an internal controls analyst for the past several years. I knew that I needed do add skills to my expertise in order to propel my team into the future of finance which uses AI and machine learning. I am working full-time and am a full-time mom, this course was flexible and fit into my chaotic schedule, allowing me to learn at my pace, get any support I needed + successfully complete the course, adding a valuable skill set to my repertoire. Read less

I just want to share my awesome experience with this course as a full time employee. I was worried about balancing both work and class, but the course has a great predictable pace that allows you to time manage. The course videos and professors were great. The lessons were quick yet concise, and the practice quizzes and test cases hit on all the important lessons.  Read less

The boot camp was an incredibly valuable learning experience. The program was well-structured and covered a wide range of topics in a short time. I appreciated the balance between theory and hands-on practice . The curriculum was comprehensive and up to date with industry standards. However, some topics felt a bit rushed—perhaps more time could be allocated for project work. The instructors were knowledgeable, approachable, and always ready to help. Their real-world insights made complex concepts easier to understand. Read less

A transformative data science program for professionals expanding their skills or changing careers.
Overall Experience: ★★★★★
Instructors: ★★★★★
Curriculum: ★★★★★
Job Support: ★★★★☆

This Data Science and Business Analytics program—conducted through the McCombs School of Business at the University of Texas at Austin—is designed for executives and professionals seeking to expand their subject knowledge or pivot careers.

I began the program in August 2023 and, due to the demands of my prior profession, had to take a hiatus. Thanks to the understanding and flexibility of the program staff, I was able to resume my studies and complete the course in October 2025.

This program exceeded expectations from start to finish. The lectures were engaging and well-designed, and the practical assignments translated academic learning into real-world application. The projects were challenging yet rewarding, helping me build a strong professional portfolio.

The mentorship was outstanding. My mentor provided clear, constructive feedback, real industry insight, and ongoing encouragement. The program managers were proactive and genuinely invested in student success.

The curriculum offered comprehensive coverage. Individual course modules started with basics in Python and business statistics, followed by a thorough progression of machine learning topics (regression and classification models, ensemble techniques and model tuning, unsupervised learning), and concluded with introductory generative AI and SQL. While I’d love to see the AI section expanded with a project component, it still provided useful exposure.

Completing this program gave me the technical foundation, confidence, and direction needed to move forward in data analytics. I would highly recommend it to anyone looking to strengthen or transition their career. Read less

This course provided an excellent and practical introduction to No-Code AI tools, clearly demonstrating how platforms like RapidMiner and KNIME can turn complex data into meaningful insights without the need for coding. It effectively bridged the gap between data science concepts and real-world application, making advanced analytics accessible to everyone. The learning materials were concise, hands-on, and well-structured, offering a solid foundation for future AI and machine learning work.
 Special thanks to Ruchika, my program manager, for her invaluable support, guidance, and encouragement throughout this journey — her dedication made the experience truly rewarding and motivating. Read less

I recently completed the Post Graduate Program in Artificial Intelligence & Machine Learning: Business Applications, and I’m very impressed by the overall value, structure, and support provided. From the outset, the curriculum struck a judicious balance between theory, practical coding exercises, and business application case studies. We moved systematically from foundational content (Python, statistics, machine learning algorithms) to advanced topics (deep learning, NLP, model deployment, productionizing ML in business contexts). The unit on real-world business applications of AI—linking algorithmic work to business KPIs—was robust.Beyond the curriculum, what truly set the experience apart was the exceptional involvement of the Program Manager, Aditya Menon. Aditya was consistently responsive: whenever I had questions—from assignment clarifications, project milestone planning, or time-management concerns—he was available and approachable. It wasn’t just “office hours” support either: he welcomed messages outside standard hours, scheduled check-ins when needed, and proactively followed up to ensure no one got stuck. His positive, encouraging demeanor made a real difference: learners felt supported, seen, and able to press ahead even during challenging modules.It gives me confidence to state that this program is not just about acquiring AI/ML technical skills — it is about being guided through the journey, with real accountability and human support baked into it. If you are looking for an AI/ML up-skilling path that combines rigorous technical content with genuine, accessible mentorship and program coordination, then this one is a top choice.My sincere thanks to Aditya for his dedication and to the entire team for delivering such an intense learning experience. Read less